| N_sites | N_counts | N_detections | rep_period | iterations | burnin | thin |
|---|---|---|---|---|---|---|
| 127 | 626 | 140 | 7 days | 120000 | 20000 | 10 |
| Yr | 2016 | 2017 | 2018 | 2019 | 2020 |
| sites | 19 | 31 | 19 | 32 | 26 |
| detections | 22 | 55 | 16 | 18 | 29 |
| N.dot.model | 10 | 13 | 8 | 7 | 16 |
| model | description | WAIC | N.total.est |
|---|---|---|---|
| fm7 | counts | 21.94854 | 127 |
| fm6 | lure + jdt + jdtSq | 692.44325 | 58 |
| fm5 | jdt + jdtSq | 710.85324 | 50 |
| fm4 | lure + jdt | 731.56568 | 60 |
| fm2 | jdt | 740.01517 | 51 |
| fm1 | dot | 821.73284 | 54 |
| fm3 | lure | 830.35690 | 57 |
| param | covariate | iters_ef | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P | pct.density |
|---|---|---|---|---|---|---|---|---|
| p[1] | NA | 4411 | 0.099 | 0.092 | 0.05 | 0.15 | 0 | 1.001 |
| p[2] | NA | 8029 | 0.187 | 0.18 | 0.14 | 0.23 | 0 | 1.001 |
| p[3] | NA | 4186 | 0.047 | 0.044 | 0.02 | 0.08 | 0 | 1.001 |
| p[4] | NA | 7430 | 0.072 | 0.07 | 0.04 | 0.10 | 0 | 1.001 |
| p[5] | NA | 4587 | 0.052 | 0.049 | 0.03 | 0.08 | 0 | 1.001 |
| lambda[1] | NA | 3263 | 0.633 | 0.517 | 0.23 | 0.98 | 0 | 1.001 |
| lambda[2] | NA | 9003 | 0.418 | 0.361 | 0.21 | 0.62 | 0 | 1.001 |
| lambda[3] | NA | 3013 | 0.618 | 0.445 | 0.19 | 1.02 | 0 | 1.001 |
| lambda[4] | NA | 8162 | 0.301 | 0.241 | 0.10 | 0.48 | 0 | 1.001 |
| lambda[5] | NA | 4666 | 0.836 | 0.682 | 0.41 | 1.24 | 0 | 1.001 |
| N[110] | NA | 7837 | 0.157 | err | 0.00 | 1.00 | err | err |
| N[78] | NA | 10000 | 0.119 | err | 0.00 | 1.00 | err | err |
| N[54] | NA | 5237 | 0.165 | err | 0.00 | 1.00 | err | err |
| N[40] | NA | 0 | 0.000 | err | 0.00 | 0.00 | err | err |
| N[83] | NA | 9488 | 1.072 | err | 1.00 | 1.00 | err | err |
## Warning in cor(X, use = "pairwise.complete.obs"): the standard deviation is zero
## Warning: Removed 50 rows containing missing values (geom_bar).
| param | covariate | iters_ef | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P | pct.density |
|---|---|---|---|---|---|---|---|---|
| alpha | jdt | 5050 | 1.196 | 1.212 | 0.98 | 1.41 | 0 | 1.001 |
| alpha0 | NA | 4191 | -2.942 | -2.935 | -3.22 | -2.67 | 0 | 1.001 |
| lambda[1] | NA | 9140 | 0.576 | 0.518 | 0.27 | 0.87 | 0 | 1.001 |
| lambda[2] | NA | 9246 | 0.653 | 0.598 | 0.33 | 0.97 | 0 | 1.001 |
| lambda[3] | NA | 9712 | 0.467 | 0.409 | 0.19 | 0.72 | 0 | 1.001 |
| lambda[4] | NA | 10000 | 0.258 | 0.22 | 0.10 | 0.41 | 0 | 1.001 |
| lambda[5] | NA | 9521 | 0.724 | 0.67 | 0.40 | 1.02 | 0 | 1.001 |
| N[85] | NA | 10000 | 1.028 | err | 1.00 | 1.00 | err | err |
| N[68] | NA | 9627 | 1.086 | err | 1.00 | 1.00 | err | err |
| N[32] | NA | 9295 | 1.422 | 1 | 1.00 | 2.00 | 0 | 1.0001 |
| N[114] | NA | 10000 | 0.072 | err | 0.00 | 0.00 | err | err |
| N[40] | NA | 10000 | 0.016 | err | 0.00 | 0.00 | err | err |
| param | covariate | iters_ef | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P | pct.density |
|---|---|---|---|---|---|---|---|---|
| alpha | lure | 8065 | -0.093 | -0.074 | -0.26 | 0.07 | 0.68622 | 0.8133 |
| alpha0 | NA | 5904 | -2.449 | -2.441 | -2.65 | -2.23 | 0 | 1.001 |
| lambda[1] | NA | 9196 | 0.648 | 0.554 | 0.30 | 0.99 | 0 | 1.001 |
| lambda[2] | NA | 7422 | 0.749 | 0.67 | 0.40 | 1.07 | 0 | 1.001 |
| lambda[3] | NA | 10000 | 0.411 | 0.326 | 0.16 | 0.63 | 0 | 1.001 |
| lambda[4] | NA | 9650 | 0.271 | 0.234 | 0.11 | 0.42 | 0 | 1.001 |
| lambda[5] | NA | 9422 | 0.652 | 0.603 | 0.37 | 0.94 | 0 | 1.001 |
| N[56] | NA | 10000 | 0.020 | err | 0.00 | 0.00 | err | err |
| N[122] | NA | 10000 | 1.141 | err | 1.00 | 2.00 | err | err |
| N[54] | NA | 10000 | 0.020 | err | 0.00 | 0.00 | err | err |
| N[104] | NA | 9412 | 1.141 | err | 1.00 | 2.00 | err | err |
| N[14] | NA | 10000 | 0.090 | err | 0.00 | 0.00 | err | err |
| param | covariate | iters_ef | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P | pct.density |
|---|---|---|---|---|---|---|---|---|
| alpha[1] | lureDays | 3620 | -0.602 | -0.601 | -0.83 | -0.38 | 0 | 1.001 |
| alpha[2] | julianDt | 3255 | 1.477 | 1.477 | 1.21 | 1.74 | 0 | 1.001 |
| alpha0 | NA | 2557 | -3.152 | -3.129 | -3.47 | -2.83 | 0 | 1.001 |
| lambda[1] | NA | 10000 | 0.475 | 0.421 | 0.21 | 0.72 | 0 | 1.001 |
| lambda[2] | NA | 8912 | 0.523 | 0.457 | 0.25 | 0.78 | 0 | 1.001 |
| lambda[3] | NA | 10000 | 0.444 | 0.375 | 0.16 | 0.67 | 0 | 1.001 |
| lambda[4] | NA | 9170 | 0.272 | 0.24 | 0.10 | 0.44 | 0 | 1.001 |
| lambda[5] | NA | 3270 | 1.353 | 1.173 | 0.62 | 2.02 | 0 | 1.001 |
| N[88] | NA | 8054 | 0.002 | err | 0.00 | 0.00 | err | err |
| N[44] | NA | 10681 | 0.460 | 0 | 0.00 | 1.00 | 1 | err |
| N[113] | NA | 6728 | 1.547 | 1 | 1.00 | 3.00 | 0 | 1.0001 |
| N[77] | NA | 10000 | 0.103 | err | 0.00 | 0.00 | err | err |
| N[52] | NA | 10000 | 0.032 | err | 0.00 | 0.00 | err | err |
| param | covariate | iters_ef | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P | pct.density |
|---|---|---|---|---|---|---|---|---|
| alpha[1] | julianDt | 1954 | -0.053 | -0.054 | -0.39 | 0.29 | 0.96348 | 0.6068 |
| alpha[2] | julianDtSq | 1985 | 1.174 | 1.176 | 0.86 | 1.45 | 0 | 1.001 |
| alpha0 | NA | 5409 | -2.824 | -2.822 | -3.08 | -2.56 | 0 | 1.001 |
| lambda[1] | NA | 9106 | 0.661 | 0.572 | 0.31 | 1.01 | 0 | 1.001 |
| lambda[2] | NA | 9606 | 0.466 | 0.402 | 0.22 | 0.70 | 0 | 1.001 |
| lambda[3] | NA | 9465 | 0.499 | 0.418 | 0.20 | 0.78 | 0 | 1.001 |
| lambda[4] | NA | 9419 | 0.237 | 0.212 | 0.09 | 0.38 | 0 | 1.001 |
| lambda[5] | NA | 9358 | 0.734 | 0.653 | 0.41 | 1.05 | 0 | 1.001 |
| N[39] | NA | 9669 | 0.017 | err | 0.00 | 0.00 | err | err |
| N[63] | NA | 10000 | 1.103 | err | 1.00 | 1.00 | err | err |
| N[93] | NA | 10000 | 0.000 | err | 0.00 | 0.00 | err | err |
| N[59] | NA | 9608 | 1.272 | err | 1.00 | 2.00 | err | err |
| N[77] | NA | 10000 | 0.001 | err | 0.00 | 0.00 | err | err |
| param | covariate | iters_ef | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P | pct.density |
|---|---|---|---|---|---|---|---|---|
| alpha[1] | lureDays | 3711 | -0.636 | -0.619 | -0.83 | -0.43 | 0 | 1.001 |
| alpha[2] | julianDt | 2108 | 0.231 | 0.227 | -0.13 | 0.57 | 0.6141 | 0.8493 |
| alpha[3] | julianDtSq | 2326 | 1.216 | 1.23 | 0.92 | 1.53 | 0 | 1.001 |
| alpha0 | NA | 3246 | -3.123 | -3.12 | -3.44 | -2.80 | 0 | 1.001 |
| lambda[1] | NA | 9102 | 0.524 | 0.435 | 0.23 | 0.79 | 0 | 1.001 |
| lambda[2] | NA | 10000 | 0.428 | 0.414 | 0.20 | 0.64 | 0 | 1.001 |
| lambda[3] | NA | 8902 | 0.479 | 0.406 | 0.20 | 0.75 | 0 | 1.001 |
| lambda[4] | NA | 9823 | 0.248 | 0.202 | 0.10 | 0.39 | 0 | 1.001 |
| lambda[5] | NA | 3421 | 1.411 | 1.199 | 0.67 | 2.10 | 0 | 1.001 |
| N[89] | NA | 10303 | 0.178 | err | 0.00 | 1.00 | err | err |
| N[100] | NA | 10000 | 0.000 | err | 0.00 | 0.00 | err | err |
| N[24] | NA | 10000 | 0.001 | err | 0.00 | 0.00 | err | err |
| N[93] | NA | 10000 | 0.000 | err | 0.00 | 0.00 | err | err |
| N[38] | NA | 10000 | 0.303 | 0 | 0.00 | 1.00 | 1 | err |
| param | covariate | iters_ef | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P | pct.density |
|---|---|---|---|---|---|---|---|---|
| alpha | counts | 8541 | 16.781 | 16.592 | 14.61 | 18.87 | 0 | 1.001 |
| alpha0 | NA | 8206 | -5.162 | -5.122 | -5.96 | -4.38 | 0 | 1.001 |
| lambda[1] | NA | 9903 | 0.982 | 0.877 | 0.43 | 1.48 | 0 | 1.001 |
| lambda[2] | NA | 8693 | 0.949 | 0.851 | 0.45 | 1.40 | 0 | 1.001 |
| lambda[3] | NA | 9152 | 0.959 | 0.855 | 0.37 | 1.48 | 0 | 1.001 |
| lambda[4] | NA | 6580 | 0.915 | 0.725 | 0.34 | 1.49 | 0 | 1.001 |
| lambda[5] | NA | 10000 | 0.971 | 0.913 | 0.52 | 1.39 | 0 | 1.001 |
| N[85] | NA | 7711 | 1.001 | err | 1.00 | 1.00 | err | err |
| N[62] | NA | 10576 | 1.047 | err | 1.00 | 1.00 | err | err |
| N[49] | NA | 9657 | 0.913 | 0 | 0.00 | 2.00 | 1 | err |
| N[91] | NA | 9385 | 0.865 | 0 | 0.00 | 2.00 | 1 | err |
| N[27] | NA | 0 | 1.000 | err | 1.00 | 1.00 | err | err |
## Warning in cor(X, use = "pairwise.complete.obs"): the standard deviation is zero
## Warning: Removed 50 rows containing missing values (geom_bar).